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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 1453
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    Explanations

    references to following strict guidelines for the correct way of doing things

    oai_token-act-pair · gpt-3.5-turbo

    references to the word "it" as a subject in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Polk
    -0.68
    Priv
    -0.62
    holding
    -0.61
    mission
    -0.60
     Mans
    -0.60
     Monetary
    -0.58
     Gul
    -0.58
    noticed
    -0.56
    figure
    -0.55
    cknow
    -0.54
    POSITIVE LOGITS
    alian
    1.42
     disappears
    1.37
     belongs
    1.22
     melts
    1.21
     explodes
    1.21
     lasts
    1.20
     doesnt
    1.19
     emits
    1.19
     becomes
    1.19
     goes
    1.18
    Activations Density 0.299%

    No Known Activations